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Machine Learning and AI are increasingly powering applications across organizations like financial institutions, healthcare, government etc. In order for AI to be successful and help improve our lives, it must be trustworthy by providing transparency and be explainable. Organizations are recognizing the importance of a holistic approach to governed data and AI technology in order to manger risk and regulations and to safeguard their brand reputations.
Who you are:
3-7 years of hands-on experience in DevOps engineering.
Strong proficiency in Jenkins, Shell scripting, and either Maven or Gradle.
Solid understanding of Kubernetes concepts and hands-on experience in managing Kubernetes clusters.
Demonstrated ability to set up and configure Kubernetes clusters from scratch.
Expertise in at least one major cloud provider: IBM Cloud, AWS, or Azure.
Practical experience implementing and managing CI/CD pipelines.
Experience in executing and troubleshooting deployments and production releases.
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